metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: tarsssss/eng-jagoy-t5-001
results: []
tarsssss/eng-jagoy-t5-001
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 5.3469
- Validation Loss: 5.4001
- Epoch: 67
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 7.8603 | 7.4105 | 0 |
| 7.3775 | 7.1273 | 1 |
| 7.1632 | 6.9598 | 2 |
| 7.0228 | 6.8372 | 3 |
| 6.9085 | 6.7335 | 4 |
| 6.8226 | 6.6458 | 5 |
| 6.7451 | 6.5671 | 6 |
| 6.6785 | 6.5022 | 7 |
| 6.6254 | 6.4409 | 8 |
| 6.5606 | 6.3842 | 9 |
| 6.5163 | 6.3361 | 10 |
| 6.4682 | 6.2908 | 11 |
| 6.4250 | 6.2436 | 12 |
| 6.3749 | 6.1907 | 13 |
| 6.3293 | 6.1494 | 14 |
| 6.2822 | 6.1098 | 15 |
| 6.2560 | 6.0750 | 16 |
| 6.2078 | 6.0508 | 17 |
| 6.1839 | 6.0229 | 18 |
| 6.1561 | 5.9944 | 19 |
| 6.1146 | 5.9732 | 20 |
| 6.0885 | 5.9490 | 21 |
| 6.0587 | 5.9243 | 22 |
| 6.0366 | 5.9064 | 23 |
| 6.0135 | 5.8857 | 24 |
| 5.9904 | 5.8675 | 25 |
| 5.9681 | 5.8482 | 26 |
| 5.9473 | 5.8262 | 27 |
| 5.9263 | 5.8127 | 28 |
| 5.9031 | 5.7896 | 29 |
| 5.8827 | 5.7721 | 30 |
| 5.8566 | 5.7482 | 31 |
| 5.8406 | 5.7355 | 32 |
| 5.8285 | 5.7231 | 33 |
| 5.7944 | 5.7049 | 34 |
| 5.7822 | 5.6968 | 35 |
| 5.7567 | 5.6813 | 36 |
| 5.7526 | 5.6650 | 37 |
| 5.7363 | 5.6614 | 38 |
| 5.7132 | 5.6398 | 39 |
| 5.6945 | 5.6383 | 40 |
| 5.6786 | 5.6243 | 41 |
| 5.6636 | 5.6071 | 42 |
| 5.6527 | 5.5955 | 43 |
| 5.6390 | 5.5876 | 44 |
| 5.6198 | 5.5754 | 45 |
| 5.6082 | 5.5663 | 46 |
| 5.6070 | 5.5572 | 47 |
| 5.5782 | 5.5493 | 48 |
| 5.5679 | 5.5487 | 49 |
| 5.5520 | 5.5301 | 50 |
| 5.5307 | 5.5261 | 51 |
| 5.5284 | 5.5089 | 52 |
| 5.5160 | 5.5003 | 53 |
| 5.4976 | 5.4981 | 54 |
| 5.4864 | 5.4860 | 55 |
| 5.4795 | 5.4816 | 56 |
| 5.4653 | 5.4652 | 57 |
| 5.4484 | 5.4639 | 58 |
| 5.4335 | 5.4580 | 59 |
| 5.4231 | 5.4454 | 60 |
| 5.4132 | 5.4358 | 61 |
| 5.4064 | 5.4349 | 62 |
| 5.3886 | 5.4261 | 63 |
| 5.3913 | 5.4193 | 64 |
| 5.3692 | 5.4138 | 65 |
| 5.3556 | 5.4028 | 66 |
| 5.3469 | 5.4001 | 67 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.10.0
- Datasets 2.15.0
- Tokenizers 0.13.3